Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform. NOTE: Courses where at least one unit is on-site are currently marked "on-site" in u:find.

Further information about on-site teaching and access tests can be found at https://studieren.univie.ac.at/en/info.

040294 UK Econometrics and Causal Inference (BA) (2018W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 03.10. 16:45 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 10.10. 16:45 - 20:00 Studierzone
Wednesday 17.10. 16:45 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 18.10. 15:00 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 07.11. 16:45 - 20:00 Studierzone
Wednesday 14.11. 16:45 - 20:00 Studierzone
Wednesday 21.11. 16:45 - 20:00 Studierzone
Friday 23.11. 13:15 - 16:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 28.11. 16:45 - 20:00 Studierzone
Wednesday 05.12. 16:45 - 20:00 Studierzone
Wednesday 12.12. 16:45 - 20:00 Studierzone
Wednesday 09.01. 16:45 - 20:00 Studierzone
Wednesday 16.01. 16:45 - 20:00 Studierzone
Wednesday 23.01. 16:45 - 20:00 Studierzone
Wednesday 30.01. 16:45 - 20:00 Studierzone

Information

Aims, contents and method of the course

The aim of this course is to help you to understand modern applied econometric methods and to foster the skills needed to plan and execute your own empirical projects. Topics include randomized trials, regression, differences-in-differences, instrumental variables and regression-discontinuity designs. This is an “applied-empirical” course, meaning that priority will be given to concrete applications rather than to formal derivation of the econometrics methods used in the applications.

Assessment and permitted materials

Exam: 34%. Homework 33%. Presentation in class 33%.

Minimum requirements and assessment criteria

Assessment is based on one open-book exam, homework and a presentation in class.

Examination topics

All the material covered in class will be relevant for the exams.

Reading list

J. Angrist and J.S. Pischke, Mastering ‘Metrics: The Path from Cause to Effect, Princeton
University Press, 2014. http://masteringmetrics.com/

Association in the course directory

Last modified: Mo 07.09.2020 15:29